Meter-scale of the large area inductively coupled plasma etchers with the capacitive power coupling are widely applied for the mass production of OLED (organic light emitting diode) display panels. Because of the large area-to-volume ratio of the etcher, the balance between the power loss and absorption is easily located in the capacitive coupling mode rather than the ideal inductively coupled mode. Therefore, the process results are sensitively governed by the power absorption and plasma heating properties of the reactors. We have introduced a new PI (plasma information) parameter, the ratio of the stochastic heating to Ohmic heating of the plasmas, which is monitorable by using the optical emission spectroscopy data of the processing etchers. With the help of this plasma heating characteristic index, we could optimize the process recipes with the detailed control of the etched hole sidewall passivation and related species generation rate in the plasmas; thus, chamber-to-chamber matching in the huge mass production fab with the higher efficiency was possible. It was demonstrated that the introduced PI index with plasma heating mechanism characterization could be applicable to the VM (virtual metrology) modeling as one of the good information supplying core variables. This PI index has shown a very high correlation with the plasma sheath and ion flux governing phenomena for a large number of mass-produced OLED display glasses. From these results, the introduced plasma heating mechanism-based PI index is expected to be utilized as a good reference index for their performance analysis or PI-VM modelings.

Low-pressure RF (radio frequency) discharges applied in the semiconductor and OLED (organic light emitting diodes) display industries for thin film etching and deposition processes are changing our lifestyle drastically. With the adoption of memory and logic semiconductors, IoT (Internet of things) and AI (artificial intelligence) have become almost the default functions of electric devices. Various kinds of functions, such as flexibility, rollability, stretchability, speakability, and touching-sensibility, are included in the displays of smartphones, laptops, monitors, tablets, and even for car windows with high definition over 102 ppi (pixels per inch).1,2 Their speed of development has been becoming more and more faster. This means that the pattern architecture, which should be fabricated by the plasma processes, has been changing fast to the more complicated and fine structures with the shortened period of the new model's launching.3 

This hectic semiconductor and display industry trend is a severe mission to low-pressure RF plasma physics. For the given hardwares in the mass production facilities, which fabricate semiconductors and OLED displays, a drastic increase in the plasma process difficulties is a challenging issue caused by the new IT product model's launching. The process margin is generally constructed with the new patterning structures.4 Moreover, the mass production management strategy sensitively changes with the market situation. As a result, numerous plasma processing chambers should be controlled to perform the same process, even for the different kinds of reactors frequently. The detailed structures of each plasma source, e.g., antenna design of the inductively coupled discharge, are sometimes unknown for the process engineers because of the industrial security and international trade law.5 

In many cases, this C2C (chamber-to-chamber) matching procedure of plasma etchers in the mass production factory is performed based on the process results and the EES (Equipment Engineering System) data, which include data from the various sensors attached to the processing reactors. However, it is very difficult for two reasons. The first reason is the nonlinear, complicated relation between process results and the sensed variables. The second one is the same plasma parameters, such as plasma temperature Te and plasma density ne, cannot guarantee the same process results. They are even difficult to measure in the mass-producing plasma chambers without perturbation to the system, with an acceptably small footprint. Therefore, the plasma processing engineers in the mass production factory perform the C2C matching using a trial-and-error case study. This process requires enormous effort and time but should be repeated for every new model's launch.6 Therefore, to reduce this massive loss in the semiconductor and OLED display industry, a reference index to match and tune the process chambers to achieve controlled process performance is needed rather than the raw sensed variables or Te and ne.

In this study, we introduced the new reference index applicable to C2C match in the OLED display manufacturing factory in terms of the PI (plasma information) parameters.7,8 For the control of the mass production systems consisting of plasma processes, FDC (Fault Detection and Classification) and APC (Advanced Process Control) logic are required for maintaining high production yield. To achieve improved results of the process efficiently by application of the control logic, fast and in situ detection-based control of the process is required rather than batch-to-batch scale control. This implies that process results measured and inspected data should be provided as information in the performance variable form to develop practical process control algorithms. Most plasma-assisted processes are performed in a vacuum chamber, and a large number of unit processes are continuously proceeded; thus, direct measurement of the process results during the mass production is very difficult. This is why developing a VM (virtual metrology) model, which directs the process control, is needed. Cheng et al. explained that VM is a method for estimating the manufacturing quality of a process tool based on data sensed from the process tool and without physical metrology operations.4,9 For the VM, various variables from the numerous sensors are adopted, and the quality of these variables governs the prediction accuracy and the cause analysis performance of the VM model. Increasing the number of sensed variables to include sufficient information from the sensor data in the VM modeling is advantageous for achieving better prediction accuracy of the VM algorithm; thus, many data scientists try to adopt super big data for machine learning (ML) and deep learning modelings with improvement of computational power. However, this strategy for developing VM or industrial process control logic faces the curse of dimensionality frequently. Statistically, at least 10 records per one variable (degree of freedom over 10) should be secured to obtain accuracy-guaranteed results.8,9 Otherwise, the model is overfitted by the input data and loses its applicability to the new data and records. Because of the difficulty of obtaining a large number of measured or inspected records of the vacuum-based plasma process results during mass production, reducing the variables' number should be achieved simultaneously.7 This implies the importance of a “powerful input variable with enough information for modeling” rather than a large number of variables with insufficient information. Loh and Yun reported the selection of the sensor variables that are most likely to give “good information” is important to the performance of the VM algorithm.10 PI parameters, the indices synthesized from the sensed variables to represent the variation trend of essential physical meanings in the plasma processing reactions, could be one of the good strategies to reduce the dimension of the data matrix and obtain a higher degree of freedom for data handling. PI parameters were useful in enhancing the performance of the VM very efficiently.8,11 They include information about plasma heating and sheath physics, plasma chemistry, and plasma-material surface reaction kinetics, which are essential for classical processing plasma analyzing models such as PIC (particle-in-cell) simulations, as domain knowledge, in general. The application of the PI parameters in VM modeling had the advantage of overcoming the curse of dimensionality because a smaller number of state variables were required compared to the general statistical VM models with good information.7 PI parameterization depends on the kinds of sensed variables of the observing system and the prediction target by the establishing VM model.

For example, to monitor the “power coupling efficiency” PI parameter in the observed OLED display manufacturing plasma etchers, we have applied the current–voltage signals and the reflected power from the each loop of the antenna coils recorded in the EES data pool of the mass production facility. The power coupling efficiency of each antenna loop with the plasma was calculated using the simple relation η = ( P abs I rms 2 R ) / P abs, where the absorbed power Pabs was determined using the subtraction of the reflected power Pref from the input power Pin for each antenna coil. Irms was adopted as the root mean square value of the monitored I–V sensor variables, and the impedance R of the coils was calculated in the same way introduced in Ref. 12. This power coupling efficiency representing the PI parameter has been applied to the previously reported PI-VM modelings to supply information about the power coupling characteristics of the plasma reactor, although this cannot exactly express the absolute quantity of the real power coupling efficiency. These PI parameter synthesizing methods based on the physical logic with applying sensed variables recorded in the EES data pool were effective in including the information about the physical parameters' varying trends. For the mass production facilities with limited various plasma diagnostics systems, which is almost impossible to measure the accurate plasma parameters, this PI parameterization strategy was powerful enough to overcome the weakness of the ML (machine learning) based statistical VM algorithms.11 The smaller number of the inspected records for process results is required with reduced number of the state variables by adopting the PI parameters; thus, the shorter period is consumed to prepare dataset for VM modeling, and the computation for the VM can be efficiently lighter. This gives us the higher possibility for real-time prediction and monitoring of the plasma processes even during the mass production.

Most process resultants governing physical phenomena are strongly related to the electron heating mechanism in the OLED display manufacturing plasma etching reactors. Ohmic heating due to electron–neutral collisions and stochastic heating at the oscillating plasma edge due to momentum transfer from high-voltage moving sheaths occur simultaneously in the plasma etchers.13–18 The ratio of Ohmic heating and stochastic heating determines the property of the electron heating; thus, electron-impact inelastic processes and the plasma–surface interactions are strongly correlated with the plasma processing results.15 Therefore, we suggested an electron heating mechanism representing the PI parameter as a new index to manage the huge mass production system and applied this index to match numerous plasma etchers. Finally, we could achieve the same process results from all of the reactors within a short period to prepare for the launching of the new OLED display models and could understand the characteristics of the large area inductively coupled plasma (ICP) sources applied to the OLED display manufacturing plasma processes.

In Sec. II, the characteristics of large-area inductively coupled plasma etchers with capacitive coupling were introduced, which is applied in the OLED display manufacturing factory. From the etching process performances in the different types of reactors, requirements on the new PI index to control and manage the mass production system were described. In Sec. III, electron heating mechanisms in the inductive discharges with capacitive coupling like observed OLED display manufacturing plasma etchers have been reviewed, and the possibility of PI parameterization for in situ monitoring was considered by using the optical sensor data. In accordance with the introduced new PI parameter, which represents the characteristics of the plasma heating, the processing recipe was optimized to achieve the required process results, and the C2C was performed based on the understanding of the process reaction mechanism in Sec. IV. Additionally, the performance of the new PI parameter for applying to the VM algorithm and mass production data was validated.

To meet the economic profit and mass productivity, 5.5 G (1300 × 1500 mm2), 6.0 G (1500 × 1850 mm2), and 8.6 G (2250 × 2600 mm2) large area target processing rectangular inductively coupled plasma (ICP) sources are adapted to the mass production of the OLED displays. Because the area of the glass, which is the etching target to manufacture the OLED display panel like the semiconductor wafer, is very large on a square-meter-scale, high process capacity is needed. Therefore, to obtain a high yield for the huge processing target with economical energy consumption, high plasma density achievable ICP type etchers have been applied in many OLED display manufacturing plasma processes.12,19 To process large area rectangular glasses with 0.4 mm of thickness, a TCP (transformer coupled plasma) device-like placement of a planar antenna on the top side of the chamber was adopted. There are two types of inductively coupled plasma etchers adopted for the 8.6 G glass processing. The first type is 13.56 MHz frequency of RF power is transferred through this antenna; thus, current flows through this topside coil induce the plasma current near the top side of the plasma chamber within the skin layer of the plasma. The antenna and the plasma are separated by the Y2O3-coated dielectrics, and the processing gas is supplied through the gas holes distributed on the topside dielectric parts. On the bottom side of the chamber, ESC (electrostatic chuck) is placed to fix the glass during the plasma etching process. Right under the dielectric ESC, a plate-type bottom electrode is located to supply the bias RF power with a 3.2 MHz frequency. Six TMPs (turbo molecular pumps) are placed at the four corners of the reactor bottom and the center of the long sides on the bottom to pump the gas and byproducts. All of the plasma-facing walls are covered with the Y2O3 and Al2O3 ceramic-coated electric insulator, except the quartz viewport window to monitor the plasma by using the OES (optical emission spectroscopy) adopted as the EPD (end point detection) sensor. An optical fiber connected with the OES was attached to the viewport toward the center of the plasma, which is the exact center of the chamber's long side area. The second type of inductively coupled etcher is almost the same as the first type of etcher except for 3 points. 4.61 MHz of RF power is supplied through the antenna, and the thin metal layer similar to the Faraday shield is located between the antenna and the dielectric parts on the top side. The gap between the topside dielectric parts and the bottom electrode is about half of the first type reactor. The other properties of this second type of etcher are exactly the same as the first type. The location of the viewport, where the optical fiber adaptor has been installed, is at the exact center of the reactor's long side area. That is to say, the observed light using the OES from the second type etcher is closer to both the topside antenna and the processing glass than the first type etchers.

To achieve efficient power density in the large reactor, the reduction of the gap between the top and bottom sides is very important.20 Only tens of centimeters are allowed space for the motion of meter-scale glasses carrying robots. Therefore, the reactors have larger area-to-volume ratios compared to the cubic structured ideal volume, and this changes the particle balance and power balance properties sensitively.

Figure 1 describes the impact of the effective area on the equilibrium of the inductive discharge system. The electron density is related to the power absorbed within the plasma via the overall discharge power balance, written as20–22 
(1)
where Pabs is the power absorbed within the plasma, Ploss is the loss of power, e is the charge of one electron, n0 is the bulk electron density, uB is the Bohm velocity of the ion at the sheath edge, Aeff is the effective area for the particle loss, and εT is the total energy lost per ion lost from the system, which is given as follows:
(2)
Here, εc is the collisional energy lost per electron–ion pair created, εe is the mean kinetic energy lost per electron lost, and εi is the mean kinetic energy lost per ion lost.21 
FIG. 1.

Absorbed power, Pabs, vs electron density, n0, from the inductive source characteristics (curve) for two different values of the driving current Irf, and power lost vs density (straight lines). From M. A. Lieberman and A. J. Lichtenberg, Principles of Plasma Discharge and Materials Processing, 2nd Edition. Copyright 2005 John Wiley and Sons, Inc.22 Reproduced with permission from John Wiley and Sons, Inc.

FIG. 1.

Absorbed power, Pabs, vs electron density, n0, from the inductive source characteristics (curve) for two different values of the driving current Irf, and power lost vs density (straight lines). From M. A. Lieberman and A. J. Lichtenberg, Principles of Plasma Discharge and Materials Processing, 2nd Edition. Copyright 2005 John Wiley and Sons, Inc.22 Reproduced with permission from John Wiley and Sons, Inc.

Close modal
From the particle balance,
(3)
where ng is the gas number density, Kiz is the ionization rate constant, V is the discharge volume from which the electron temperature Te can be determined.20 Once the electron temperature is found, the loss of power can be calculated according to Eq. (1).
For the low-density plasmas such that the plasma skin layer thickness δp is much larger than the cylindrical system size R (δp R), the conductivity is low, and the fields fully penetrate plasma.20,22 In this case, Pabs and n0 have the relation of
(4)
for N turns coil placed reactor with the height of l. Irf is the current flows the coil, νeff is the effective collision frequency, which will be dealt with later, and m is the mass of the electron.20,22 Schematics of Eq. (4) is illustrated in Fig. 1 as the black curves. With the holding the current on antenna Irf fixed, Pabs vs n0 has a maximum as sketched as the solid curves in Fig. 1 for two different values of Irf.22 We can find the solution for power balance graphically with the Ploss plotted as a blue straight line in the figure. The intersection of this line with each of the solid curves defines the equilibrium point for inductive discharge operation for that particular value of Irf. The intersection shown at Irf > Imin gives an inductive mode equilibrium, while the inductive source operation is impossible for the source current Irf lies below the criteria Imin. For Irf < Imin, a weak capacitive discharge can exist only. For the very large area of 8.6 G plasma sources applied for the OLED display manufacturing, the value of Imin itself is too high for practical use, even though the discharge volume is minimized as much as possible. Actually, the reactor volume of the 8.6 G source is about 1000 times larger than that of the 300 mm-wafer semiconductor manufacturing plasma etchers, while the applied power is similar or only decades times larger. Thus, the system that we have observed usually follows the curve of Irf < Imin and it is difficult to operate in inductive mode.

If we can reduce the Aeff by changing the chamber design, the slope of the straight line Ploss can be lower, like as Ploss' sketched as a red dashed line. In that case, the intersection of the Ploss' line with the Irf < Imin curve also satisfies the inductive mode operation range. However, because of the power density limitation problem, the narrow gap large area reactor has difficulty avoiding steep slopes like the Ploss of the blue line. These characteristics of the large area reactor applied for OLED display manufacturing caused quite complicated phenomena during the etching processes. Therefore, gathering information about this equilibrium state of the plasma is important to understand the events that appeared in the etching processes in the large-area power density-limited reactors. Moreover, this can be a key PI index for the modeling of the VM to predict and control the plasma heating characteristics-related process deviations. This is why we have tried new PI parameterization in addition to the already existing PI parameters such as the “power coupling efficiency,” “electrode cooling efficiency,” “He instability,” “chucking force,” “exhaustion efficiency,” “ion energy,” and “plasma potential.”4 

Perret et al. explained that the strong nonuniformities of plasma called the standing wave effect occur in capacitive discharges if the excitation wavelength becomes comparable to the reactor size.23–28 Significant effects are expected when the wavelength in the plasma λ is comparable to 4X or smaller, with 2X the electrode size.23 Here, λ with a simple analytical approximation is
(5)
where Δ = min(d, δ), d is half of the plasma thickness (between the two sheaths), δ is the plasma skin depth, and s is the sheath size. Therefore, the inductively coupled plasma etchers with capacitive coupling applied for OLED display manufacturing make it difficult to avoid the standing wave effect. They have long skin depth δ and a large X enough; thus, distortion of the plasma distribution with the intense vertical electric field, Ez, causes various kinds of etching process faults.26 This is an unavoidable phenomenon in the large area inductively coupled plasma reactor. Sometimes, these electric fields lead to defect particles and pollution in the process chamber from the sputtering of the plasma-facing parts in the reactor by the accelerated ion.19,29–33

These power coupling properties also govern the characteristics of the plasma, and porcess results are also affected by them.14,34–36 Therefore, capacitive coupling-driven standing wave effect and strong Ez have been considered to be suppressed in many cases. Faraday shield-like metal shielding parts between the current driving coil and the plasma are applied to decay Ez components to the plasma space for some devices.20,22 Therefore, the second type etchers previously described have a majority to avoid standing wave effect-driven plasma process failures.

One of the most important plasma processes in the OLED display manufacturing system is the hybrid-metal layer target etching. To pattern the conducting wire of the micro-circuits, etching process of the metal target should be performed with the well-tailored etching profiles and with good uniformities for micro- and macro-scale. The dominant metal for patterning is aluminum, and the etching required area for patterning is very large as the size of the glasses; thus, the chemical etching reaction to form the AlxCly compounds is the main process reaction mechanism by using the Cl2 and BCl3 gas based plasmas.19,29 Dissociated Cl radicals, dissociatively ionized Cl+ ions, and excited Cl2 molecules react with the Al target and form AlxCly byproducts. These compounds are volatile for x:y = 1:3, and their volatility decreases with the x/y ratio.19,37 Therefore, inelastic collisional process rates with electron impact are critical factors to control this etching process.

More than the etching reaction itself, tailoring the etched profile is also essential to achieve the proper performance of the OLED display panel. In particular, control of the taper angle at the sidewall of the etched pattern is one of the critical factors for driving circuits of the OLED display. To control the sidewall taper angle during the photo resist material mask applied etching process, passivating gases such as N2, O2, or H2 have been proposed to be added into the Cl2-based plasma chemistry, as Chanson et al. had reported.38–42 The increase in the atomic nitrogen flux enhances the passivation of the sidewall surface; thus, the dissociation reaction of N2 molecules in the plasma is very important to pattern the profile.38–42 The observed process in this study is this aluminum-based titanium and molybdenum metal hybrid layer etching by the Cl2 and BCl3 gas-based plasmas with adjusting N2 gas addition to tailor the etching profile. The partial pressure of the Cl2:BCl3 is kept at about 3:1 at the 10 mT pressure, and the source power supplied by the antenna is decided by the total thickness of the metal etching target and the required etching process time. The bias power supplied at the bottom electrode was about 20% of the source power in the observed process.

Figure 2 represents the optical emission spectra in the visible range observed during the plasma etching process of the aluminum-based metal hybrid target. Two types of etchers are observed for 13 reactors introduced in Sec. II A. The spec of the etching targets, including the thickness and structure of the metal layer, was the same for all of the 13 reactors; thus, the detailed processing recipe was also the same. Spectra of the first type of etchers (Type I) are sketched with gray graphs, and those of the second type of etchers (Type II) are sketched with blue graphs. The overall spectra of these two types of etchers have very big differences from each other, which is strongly correlated with the etching profile.

FIG. 2.

Observed spectra during the metal etching processes in the two different types of the etchers.

FIG. 2.

Observed spectra during the metal etching processes in the two different types of the etchers.

Close modal

For type I etchers with 13.56 MHz RF power supplying, light emissions of N2 first positive system (B3Πg → A3Σu+) at the range of 550–800 nm are noticeable compared to the spectra of type II etchers. As shown in Fig. 3, the lowest threshold energy of the electron impact light emission of the N2 molecule is the first positive system of 7.35 eV.43,44 The spectra of type II etchers with metal shield parts and 4.61 MHz RF power supply do not show the noticeable emission of the N2 first positive system. On the other hand, spectra of the type II etchers have various kinds of emissions. Dissociated or ionized processing gases such as B, Cl, N, and N2+ lines and byproducts such as AlCl, BCl, and TiCl emissions are observed. Some sputtered-out metal atomic emission lines of Al, Al+, and Ti are also observed.45 

FIG. 3.

Energy level diagram of N2 including the different molecular, ionic, and atomic states with the radiative decay channels. Reproduced with permission from J. Appl. Phys. 101, 073303 (2007). Copyright 2007 AIP Publishing LLC.43 

FIG. 3.

Energy level diagram of N2 including the different molecular, ionic, and atomic states with the radiative decay channels. Reproduced with permission from J. Appl. Phys. 101, 073303 (2007). Copyright 2007 AIP Publishing LLC.43 

Close modal

With an abundance of atomic nitrogen, type II etchers are advantageous for tailoring the etching profile to have a more gradually sloped sidewall due to the passivation effect on the sidewall. Table I shows the process results in the two types of etchers observed as the emission spectra of Fig. 1. As dissociated processing gases were observed more in type II etchers, the overall etch rate was higher, about 5% in type II etchers. Non-uniformity, which is defined as the etch depth difference between maximum and minimum values in one glass, was about half of type I etchers in type II etchers. Namely, more uniform process results were achievable in type II etchers. The taper angle of the etched pattern's sidewall was smaller, about 10.2° in type II etchers. This taper angle is defined as the angle between the bottom of the etched hole and the surface of the sidewall. It means that the side walls of the etched pattern in type I etchers were almost vertical, while the side walls patterned in type II etchers were relatively oblique. The purpose of sidewall passivation in this metal etching process for OLED display manufacturing is to form the lower sloped oblique sidewall, unlike the vertical HARC (high aspect ratio contact) patterning of the semiconductor production.12 As nitrogen atomic peak has been observed in type II etchers, N atom-assisted sidewall passivation was more enhanced and taper angle was smaller in type II etchers.

TABLE I.

Metal etching process results in the type I and type II etchers.

Etchers Type I|ref Type II
Taper angle (deg)  θ + 10.2  θ 
Etch rate (a.u.)  0.95 
Non-uniformity (a.u.)  2.04  1.00 
Etchers Type I|ref Type II
Taper angle (deg)  θ + 10.2  θ 
Etch rate (a.u.)  0.95 
Non-uniformity (a.u.)  2.04  1.00 

However, these noticeable differences in process performance between the two types of etchers are severe drawbacks in mass production. Process results should be controlled by a specification required to mass-produce the OLED display or semiconducting devices. Different performances of the process reactors make the control of the mass production management difficult because the processing recipe or the detailed plasma-facing parts of the reactors should be customized for each reactor. In the practical fields, usually, the optimization procedures of the processes for each of the reactors are performed by trial and error of the process results. This takes a long time and effort of the engineers; thus, quite a significant loss of productivity in the mass production fab. Even this optimization required period has become shorter and shorter according to the more and more frequent new model launching of the IT devices. Therefore, if we can introduce the reference index to characterize the process chamber's performance properties even monitorable in the mass production system with limited diagnostics, this would efficiently decrease the loss of mass production management.

In this study, we suggest this reference index for the inductively coupled plasma etchers with capacitive coupling in terms of the plasma heating mechanism. We selected this as a key PI parameter to characterize the reactor's performance, as stated in Sec. III.

As previously described with schematics of equilibrium in the inductively coupled plasma system of Fig. 1, it is difficult to operate the very large ICP devices that we have been observing within the perfectly inductive mode without the capacitive coupling.46 We cannot exclude the consideration of the capacitive RF discharges' properties in the OLED display manufacturing plasma etchers what we have observed.

Godyak introduced the electron power deposition for a dc sheath with a small sinusoidally vibrating fluctuation and put forward the idea that Fermi acceleration might be a major mechanism to sustain capacitive discharge at low gas pressures.47 These ideas were further developed by Godyak et al.48 An explicit application of Fermi acceleration to electron heating in RF discharges was by Godyak:47 

In an oscillating double sheath, the potential distribution, and thus the coordinate of the electron-reflection point, depends on the time, and the electron reflection is analogous to that of solid particles from a vibrating wall. On average, particles acquire energy in this case (the Fermi acceleration mechanism).

Gabor et al. stated the sheath width oscillates, and electrons reflecting from the sheath are velocity dispersed. They stated the electron interaction with RF oscillations in the sheath generates a high energy tail of the EEDF (Electron Energy Distribution Function).47,49 Gould explained that the electron reflection in the oscillating sheath is accompanied by RF energy absorption, due to a type of transit time heating.47,50

Lieberman and Kaganovich explained the self-consistent collisionless power absorption model in the capacitive discharge with a high RF sheath voltage.47,51 They also adopted the classical “hard wall” model, introduced by Godyak,52 an electron's interaction with the sheath potential barrier is approximated as an elastic collision of the particle with a moving rigid wall. When electrons are reflected from the large decelerating fields of moving high voltage sheath, the reflected velocity of the electron can be expressed into
(6)
approximately, where u and ur are the incident and reflected electron velocities parallel to the time-varying electron sheath velocity ues. With the electron velocity distribution fes(u, t) in the phase space with speed u and time t, the number of the electrons per unit area that collide with the sheath can be expressed into ( u u es ) f es ( u , t ) d u dt. Then, a power transfer per unit area is47,
(7)
Kaganovich and Tsendin verified that too slow electrons to collide with the moving wall are trapped by the stationary electric field at the bulk region of the plasma and do not reach the moving of the space-charge boundary with the analysis of energy diffusion coefficient, Dε.51 The Dε for these slow electrons is very small while the Dε for the fast electrons is correlated with the collisionless stochastic heating directly, for
(8)
where ω is the RF frequency, νs is the bounce frequency, a characteristic frequency of plasma–electron collisions with the oscillating barrier, and M and m are the ion and electron masses, respectively.51,53 This suggests that by integrating Eq. (7) with using Eq. (6) for all incident velocities except for u < ues, we can obtain the stochastic heating power per unit area47 
(9)
This implies that electron velocity distribution fes(u, t) is one of the critical components to determine the collisionless heating power. That is to say, the information about the EEDF should be previously gathered to understand the capacitive power coupling properties of the analyzing system.
Lieberman assumed a Maxwellian velocity distribution fm(u) having density ns within the plasma at the ion sheath edge where x = 0 in Fig. 4 in the absence of the electric field, then the distribution within the plasma edge is
(10)
with the time-varying oscillation velocity of the plasma electrons, u s ( t ) = u 0 sin ω t.
FIG. 4.

Schematics of the electron and ion densities in a high voltage RF sheath. From M. A. Lieberman and A. J. Lichtenberg, Principles of Plasma Discharge and Materials Processing, 2nd Edition. Copyright 2005 John Wiley and Sons, Inc.22 Reproduced with permission from John Wiley and Sons, Inc.

FIG. 4.

Schematics of the electron and ion densities in a high voltage RF sheath. From M. A. Lieberman and A. J. Lichtenberg, Principles of Plasma Discharge and Materials Processing, 2nd Edition. Copyright 2005 John Wiley and Sons, Inc.22 Reproduced with permission from John Wiley and Sons, Inc.

Close modal
Many electrons are reflected within the region 0 < x < s, where the ion density drops from ns to nes. With the approximation
(11)
and the variation transformation u = u u s, Eq. (8) can be arranged into47 
(12)
This simplified calculation does not account for the spatial variation in the electric field and distortion of electron distribution by the rapid changes in the sheath position. However, this approach is not entirely self-consistent because of the violence of RF current conservation at the moving sheath edge. Compressional heating incorporated kinetic fluid model was introduced to achieve self-consistency by Turner.20,54 According to the classification of the stochastic heating by Kaganovich et al., the observing plasma reactor in this study can be classified into the region that spatially averaged energy diffusion coefficient is55,
(13)
where Δε is a maximum kick in energy, and νeE corresponds to the average frequency of electron-field interactions. The value of νeE does not depend on collision frequency explicitly, but averaging over all particles leads to νeE = νs.55 This implies that collisions also lead to randomization, so the energy diffusion coefficient should be treated velocity- and time-averaged parameter. Averaging over an oscillation period and integrating over fm gives47 
(14)
where
(15)
Here, ϵ 0 is the permittivity of vacuum, v ¯ e is the mean electron speed with Maxwellian distribution, (8eTe/πm)1/2, and V ¯ is the dc (time-average) sheath potential.47 This result shows well-known characteristics of the stochastically heated power density of the plasmas, which is proportional to ω2. The higher frequency of applied power is more efficient in achieving the higher plasma heating efficiency with the same RF power supply. Because of this, many plasma etchers adopted for semiconductor manufacturing use the VHF (very high frequency) power over 60 MHz. However, this VHF power-based maximization of the stochastic heating efficiency is difficult to apply for OLED display manufacturing fab, because of the very large area of the etching targets. Λ of the higher frequency power becomes shorter, and this can meet the scale of λ < 4X for large OLED display manufacturing plasma etchers. This standing wave effect can cause severe non-uniformity of the etching process, resulting in the glass; thus, VHF power cannot be adopted in the large area plasma etchers even though higher plasma heating efficiency could be achieved.
In addition to the contribution of the sheath to the plasma heating, we need to account for the effect of plasma bulk and skin layer of the plasma. We consider an electron from the bulk plasma incident on an RF electric field within a skin layer with the assumption of the slab geometry. We assume a simple model in which the transverse electric field within the slab decays exponentially with distance x from the edge into the slab47 
(16)
where ϕ is the phase shift from 0.
With an assumption that the force due to the RF magnetic field is negligible in determining power dissipation, we considered weak collisionality condition, ν m v e / δ. Hence, there are no electron collisions within the skin layer. With the introduction of an effective collision frequency νeff, an effective collisional heating power flux is47 
(17)
Here, the classical (normal) skin depth is
(18)
where
(19)
Here, νm and ωpe in Eq. (19) denote the electron–neutral atom collision frequency and plasma electron frequency, respectively.47–51,56
This plasma heating mechanism occurs in the bulk and skin layer and is governed by effective collision frequency νeff, suggested by Popov and Godyak regarding the moving rigid wall concept. This includes the collision frequency νm and a characteristic frequency of plasma–electron collisions with the oscillating barrier νs,53 
(20)
Here, L0 = L − 2S0 is the plasma thickness, L is the inter-electrode separation, and S0 is the time-average sheath thickness. The sheath thickness is calculated to be larger than the Child Law sheath by the factor of (50/27)1/2 according to the self-consistent RF ion sheath model of Lieberman.56 

Although both heating mechanisms contribute to the increase in plasma density and overall energy of the system, the roles of each heating to the plasma etching reactions are very different. Gudmundsson et al. analyzed with the Monte Carlo simulation that the effects of Ohmic heating and stochastic heating on the IAD (ion angle distribution), IED (ion energy distribution), and EED are very different from each other.57,58 This means that the information about the heating mechanism in the etching plasma can give us an understanding of the characteristics of the etching properties, i.e., the contribution of the ion-assisted physical etching and neutral species-based chemical etching. Therefore, we have tried to parameterize the PI index, which represents the heating mechanism of the plasmas.

One of the most general analysis methodologies to understand the power coupling mechanism in one inductively coupled plasma reactor is observing the E–H transition by scanning the RF power.59–63 To obtain information about the power coupling mode of the observed system, we have changed the RF power supplied through the antenna coil of two types of the etchers. For type I etchers, the RF power has changed from 3 to 34 kW for 10, 20, 30, and 100 mT of the pressure, and for type II etchers, RF powers of 2–14 kW for 10 mT, 2–9 kW for 20 mT, 2–10 kW for 30 mT have supplied. Both etchers discharged pure Ar gas, and bias power was not supplied to the bottom electrode; thus, the only power applied to the Ar plasma is 13.56 and 4.61 MHz source powers flow through the coils for type I and type II etchers, respectively.

The spectra monitored by using the OES sensor have been analyzed into the plasma parameters with the application of the diagnostic methodology introduced to develop the various PI-VM (plasma information based virtual metrology) models in the OLED display manufacturing fab.4,7,34 This model adopted CE (corona equilibrium) state, which is a simple approach to population densities in non-equilibrium plasmas having relatively low electron density (≈1012 m−3) and negligible probability of electron impact de-excitation processes like as the solar corona.64,65 Therefore, the corona model assumes that upward transitions are only due to electron impact collisions, while downward transitions occur only by spontaneous radiative decay.65 

With the excitation rate coefficient
(21)
where ε is the energy of the electron, σ is a typical cross section for an electron impact excitation process, and f (ε) is an EEDF, the population of an excited state p is balanced by electron impact excitation from the ground state q = 1 and decay by spontaneous emission
(22)
where Apk is the spontaneous decay coefficient called the Einstein transition probability. Here, p labels the upper level and k the lower level. Therefore, line emission intensity can be described as
(23)
which is a function governed by the EEDF of the observing plasma.65 By analyzing the line intensities of the plasma, one can obtain information about the thermal equilibrium state of the plasmas, and we have analyzed with the line intensity ratio.34,64 Application of the line intensity ratio for analysis gives better stability of the diagnosis with the mass production system, which has the intensity degradation problem by the contamination of the viewports.
Figure 5(a) shows measured effective electron temperature Te,eff with varying power and pressure for two types of etchers. We have measured the plasma temperature and EEDF describing parameters in the Ar plasmas by the way introduced in the previous study34,64 with the generalized form of the EEDF, f(ε), including the non-Maxwellian distribution
(24)
where
(25)
and
(26)
Here, ε is the energy of the electron, and b is the shape factor of the EEDF, which varies from 1 to 2 and represents the tail-developed Maxwellian distribution to the curtailed Druyvesteyn distribution. The coefficients c1 and c2 are determined with the definition of the mean energy of the electrons
(27)
and integration over energy equals one:66 
(28)
Therefore, we measured the thermal equilibrium property of the plasma in terms of (b, Te,eff), including the non-Maxwellian distribution and denoted the measured electron temperature as Te,eff. The electron density shown in Fig. 5(b) was monitored with the integration of the full spectra over the wavelength 200–800 nm observable with the installed spectrometer. Because all of the emission lines observed as the full spectra have various excitation threshold energies, the total area of the spectra over the wavelength divided by ng can be roughly approximated almost proportional to the ne if the gas species is constant and Te is not severely changed, with the CE model. With this assumption, we have monitored the relative variation of the ne. The detailed value of ne had adopted the result measured by the Langmuir probe for 5 kW power, which was applied with each pressure before the etchers were installed in the mass production line.
FIG. 5.

(a) Effective electron temperature Te,eff and (b) electron density ne with varying RF power for 10, 20, 30, and 100 mT pressures in type I, and for 10, 20, and 30 mT in type II etchers.

FIG. 5.

(a) Effective electron temperature Te,eff and (b) electron density ne with varying RF power for 10, 20, 30, and 100 mT pressures in type I, and for 10, 20, and 30 mT in type II etchers.

Close modal

Both Te,eff and ne of the two types of etchers show different tendencies with varying RF power and pressure. Te,eff of the type II etcher is higher than that of the type I etcher in the overall range of the power and pressure and more drastically decreases with the RF power and is more sensitive to the operating pressure. Plasma density ne increases with RF power for both types of etchers, but the ne of type II etcher is lower noticeably when pressure is 10 mT. For type I etchers, the electron density ne seems to be saturated over about 15, 14, 12, and 10 kW for 10, 20, 30, and 100 mT, respectively; thus, this power range is expected as the E–H transition region for type I etchers. However, this transition was not clearly observable in type II etchers because of the applicable power limitation. These Te,eff and ne are very typical and important information about the plasmas, but it is difficult to understand the properties of the etching process and the characteristics of the process reactors directly. As previously stated, we have tried to parameterize the new PI index, representing the plasma heating characteristics.

Using the Te,eff and ne in Fig. 5, we have calculated S stoc ¯ and S ohm of Eqs. (13) and (17). Calculated Debye length λD and wall potential in the argon discharge Φ w | Ar are shown in Fig. 6. The time-averaged sheath potential V ¯ is one of the important parameters to calculate Eq. (13) and is generally determined using the lumped element circuit models.22,46,67–69 However, in many cases, these models are not appropriate to calculate the sheath potential of the plasma processing devices in the mass production fab because of the too complicated and unknown detailed structure and design of power coupling parts to the plasma, as previously stated.

FIG. 6.

(a) Debye shielding length λD and (b) wall potential Φw|Ar for argon plasmas with varying RF power for 10, 20, 30, and 100 mT pressures in type I, and for 10, 20, and 30 mT in type II etchers.

FIG. 6.

(a) Debye shielding length λD and (b) wall potential Φw|Ar for argon plasmas with varying RF power for 10, 20, 30, and 100 mT pressures in type I, and for 10, 20, and 30 mT in type II etchers.

Close modal
In addition, there are no proper diagnostics to monitor the time-averaged sheath potential without the perturbation to the processing plasma systems in many cases. Although the accuracy loss exists, we need the monitoring index for the huge mass production system for various kinds of plasma etchers with good convenience applicable to one of the EES sensor variables rather than the exact analysis model. As a tricky method, we have adopted the wall potential value
(29)
to V ¯ to estimate S stoc ¯ .22 This expression is a simple function of Te, which is monitorable from the OES data. However, this replacement of the time-averaged sheath potential with the floating potential does not mean that the stochastic heating is determined by the actual wall potential. Because of the severely limited information and diagnostics of the observed system, we substituted Φw to refer to the scale of V ¯. This assumption should be limited only to the small amplitude of the alternating-sheath voltage and collisionless sheath condition.20,70,71 Riemann analytically derived that the dc sheath potential approaches the floating potential for a small amplitude of V. For Ar plasma, the dc sheath potential called self-bias potential is equal to the floating potential in about eV/kTe < 10 range.70 Analysis and experimental results reported by Godyak also stated that dc sheath properties in RF plasma are close to the floating sheath properties in low V ranges.71 The large area 8.6 G inductive discharge etchers with capacitive coupling that we observed have the properties of s/λD ∼ 25–55 ≫ 1 and V/Te ≪ 100; thus, we could roughly approximate that V ¯ approaches Φ w. Of course, this approach is based on the Maxwellian distribution of the electron velocity, but the measured EEDFs of the observed etchers were not so far from the Maxwellian distribution with the shape factor b of Eq. (24) distributed from 1.05 to 1.42; thus, we used Eq. (29) which regarded Boltzmann relation.

The effective collision frequency νeff of Eq. (20) is needed to calculate absorbed power density. Lieberman and Godyak analyzed this effective collision frequency with varying pressure and explained the difference between νeff and νm is the effect of stochastic heating. The variation of νm is explained due to Ohmic dissipation alone.22,47,48 The results in Fig. 7 can also be analyzed in a similar manner. Figures 7(a) and 7(b) represent the variation of the νeff and νm with increasing ngTe,eff rather than pressure for type I and type II etchers, respectively. The type I etchers with larger L show a very small difference between νeff and νm, while the type II etchers with smaller L and metal shielding parts show about 2  × 107 s−1 of difference between νeff and νm. This result shows that the plasma heating mechanism of the type I etcher is dominated by Ohmic heating, while the type II etchers also transfer the power to the plasma with stochastic heating, also. Classical definition of this effective collision frequency introduced by Godyak et al. with the moving rigid wall concept to the collisionless electron heating operates very effectively to explain the observing large area ICP with capacitive coupling.48 

FIG. 7.

Comparison of the effective collision frequency νeff and momentum transfer collision frequency νm with varying ngTe,eff for (a) type I etcher and (b) type II etcher.

FIG. 7.

Comparison of the effective collision frequency νeff and momentum transfer collision frequency νm with varying ngTe,eff for (a) type I etcher and (b) type II etcher.

Close modal

Finally, the calculated result of the Sstoc/Sohm according to Eqs. (13) and (17) is shown in Figs. 8(a) and 8(b).

FIG. 8.

Ratio of stochastic heating power to Ohmic heating power with varying RF power, Sstoc/Sohm, for (a) type I and (b) type II etchers.

FIG. 8.

Ratio of stochastic heating power to Ohmic heating power with varying RF power, Sstoc/Sohm, for (a) type I and (b) type II etchers.

Close modal

As expected from the analysis of νeff, the contribution of stochastic heating is much larger about one order for type II etchers compared to that of the type I etchers. Sstoc/Sohm rapidly decreases with increasing RF power, that is to say, decreases with increasing ne and larger with lower pressure conditions for both types of etchers. This trend represents well the characteristics of the collisionless power absorption property of the stochastic heating mechanism. From this result, we can understand that the power coupling characteristics of the two types of etchers are very different; plasmas in the type II etchers are more capacitive discharges compared to those of the type I etchers. Although both types of etchers are designed as large-area ICP reactors, they have non-negligible capacitive coupling properties, and this characteristic is much larger for type II etchers. Of course, detailed assumptions driving Eqs. (13), (14), and (17) give different values as Kawamura et al. described according to the mobile-ion, fixed-ion, fluid model, and hard wall limit conditions.72,73 Adoption of the wall potential to the time-averaged sheath potential for calculating Sstoc/Sohm might cause underestimation of this PI parameter for relatively higher power (about >10 kW) applied regime by the low-voltage limitation as Godyak and Riemann suggested.70,71 However, overall trend analysis with varying power and pressure for different types of reactors was possible because the under-estimated amount of wall potential shift is T e [ ln I 0 ( V T e ) ], which is determined by the gradually increasing simple modified Bessel function in the range of observed system.20 By introducing the PI index representing the stochastic heating power density to Ohmic heating power density ratio, we could easily understand the plasma heating characteristics of the observed etchers as the plasma sources. From this result, we could analyze the very different process results in the two types of etchers and applied to manage the mass production system as stated in Sec. IV.

As shown in Fig. 5, the electron density ne, which dominantly governs the inelastic process rates, is much lower in type II etchers than in the type I etchers for 10 mT conditions, which is in the observed metal etch processing pressure. Similarly, with line emission intensity of Eq. (23) in the corona equilibrium state, arbitral inelastic reaction rates Rj in the plasma by the electron impact collision is22,34
(30)

Here, ng,j is the gas number density of species j, σj, and Eth,j are the excitation cross section and threshold energy of the species j, respectively. This is determined by the number of electrons with energies over the reaction threshold energy and the number density of reactant gas, ng,j.

Figures 9(a)–9(c) represent the densities of electrons that have energies higher than 1.18, 7.35, and 10 eV, respectively, estimated regarding the results in Fig. 5. 1.18, 7.35, and 10 eV denote the threshold energies of the reactions strongly correlated with the observed metal etching process. As shown in Fig. 3, the light emission of N2 first positive system is contributed by the electrons with the energy over 7.35 eV for ground state N2 molecule and 1.18 eV for N2 (A3Σu+). For the etching processes pressure, 10 mT, the numbers of the electrons with ε > 1.18 eV and ε > 7.35 eV in the type II etcher are noticeably lower than that in the type I etcher. Because of this, emission of the N2 first positive system was not observed in type II etchers during the etching process, even though the process recipes of both types of etchers were the same, as shown in Fig. 2. On the other hand, the number of electrons with ε > 10 eV was much larger in the type II etcher compared to the type I etcher for all of the observed pressures. As shown in Fig. 3, the dissociation of the N2 molecule in the ground state has 9.8 eV of threshold energy.43,44

FIG. 9.

Electron densities with the energies above (a) 1.18 eV, (b) 7.35 eV, and (c) 10 eV in the argon plasmas for type I and type II etchers.

FIG. 9.

Electron densities with the energies above (a) 1.18 eV, (b) 7.35 eV, and (c) 10 eV in the argon plasmas for type I and type II etchers.

Close modal

Moreover, electronic excitation cross sections of the molecular N2 are especially high at the energy range of 10–12 eV, as Song et al. reported.74 They stated that N2 is a common gas, but its cross sections are uncommon with the resonant character of some of the electronic excitation channels (and high values of these cross sections, both for triplet and singlet states), high cross section for the dissociation into neutrals, and high cross sections for elastic scattering (and electronic transitions) on metastable states. This causes especially high sensitivity of inelastic processes, including the light emission and dissociation in the N2-aided plasmas to the electron densities with energy over about 10 eV.

Figure 9(c) shows more than 10 times higher number density of the ε > 10 eV electrons for type II etchers than for the type I etchers; thus, dissociation, ionization, and dissociative ionization like electron impact inelastic processes of N2 molecules are more reactively occurred in the type II etchers rather than the low energy electron assisted vibrational excitation or first positive system excitation. This thermodynamic equilibrium state characteristics of plasma lead to sufficient sidewall passivation and etching profile taper control available condition for the metal etching processes with the N2 added plasmas.

The analysis of the characteristics of the two-type etchers implies that the capacitive power coupling property is stronger in type II etchers rather than in type I etchers. These characteristics of the reactors resulted in the different process performances in two types of etchers, as shown in Table I. Enhancement of the collisionless stochastic heating in the plasmas caused a slightly higher etch rate with the assistance of the higher energy ions and reactive radical flux, better spatial uniformity of the process results, and sufficiently passivated sidewalls with a lower taper angle. To achieve similar process results in the type I etchers with the type II etchers for mass production, we have tried compensation of low Sstoc/Sohm of type I etchers by tuning the process condition.

As Gudmundsson and Rauf had directly shown, electrostatic power deposition of the plasmas is clearly concentrated at the sheath region.57,58,75 That is to say, to compensate for the etching process performance of the type I etchers with type II etchers, the tune of the sheath property-related parameters should be more effective than any other parameters. We could approach this compensation with two factors. The first one is the energy matching of the ions accelerated through the sheath, and the second one is tuning the dissociated neutral nitrogen flux onto the substrate generated by the stochastically heated high-energy electrons from the sheath. These two factors are strongly related to the etching process results and are governed by the sheath of the plasmas.

The first factor is tuned by the changing bias power on the bottom electrode, in which the etching target glass lies. Figure 6(b) shows the difference in the wall potential in the two types of etchers without the bias power. This denotes that the ion energy arrived at the reactor wall through the sheath is nearly 2.5 times larger for type II etchers in 10 mT than for type I etchers in the default condition. According to this, we have tried to adjust the ion bombarding energies arrived at the etching target surface by increasing the amplitude of the bias RF power. Because the ion frequency of the observed plasma reactors was distributed from 4.9 to 66 MHz for Ar+ and Cl2+, the ion transit time across the sheath formed by the 3.2 MHz bias power is slightly shorter than the bias RF period. Consequently, the energy that ions gain by the acceleration in the sheath can be increased with the amplitude of bias power; thus, we have increased bias power 2.5 times larger than the original recipe in the type I etchers first, with a very rough approach. Of course, bias power itself is not directly proportional to the ion energy bombarded onto the bottom electrode, but the low frequency of 3.2 MHz bias power can contribute to the acceleration of the ions in the given system efficiently. The increase in bias power with the fixed source power was nearly independent of the electron density in the observed system; thus, we could roughly approximate the ion energy would be enlarged with increasing bias power.

The second factor is matched by the additional N2 flow in type I etchers. Figure 10 represents the product of the ne and dissociation rate constant of nitrogen22,
(31)
with regard to the dissociation cross section σdiss of nitrogen given by Cosby and Song.74,76 The results in Fig. 10 show that the dissociation probability of an N2 molecule with one-time electron impact collision is about 30 times higher in type II etchers than in type I etchers. That is to say, to achieve a similar concentration of the N neutral to perform the sidewall passivation and etched pattern taper angle profiling, a 30 times larger amount of N2 molecule should be added into the chamber in type I etcher than in type II etchers with simple arithmetic approach. However, the electronegative nature of the Cl2, including plasmas, can change the simple estimation of the atomic nitrogen generation rate. As Gudmundsson and Despiau-Pujo had analyzed with the global modeling, Cl2 including plasmas have very high electronegativity, the density ratio of the negative ion to electron, even over the 10, in general.58,77–79 Therefore, an increase in N2 partial pressure in Cl2-based processing plasmas also causes an increase in ne very sensitively. Therefore, we need to increase N2 partial pressure in the type I etchers under 30 times of the type II etchers with consideration of the electron attachment effect for enhancing N atom flux in the reactor. According to this, we have increased the partial pressure of N2 in type I etchers 5 times, 10 times, and 20 times higher than the original recipe in the type I etchers with increasing the bias power concomitantly.
FIG. 10.

ne⟨σv⟩ with varying RF power for type I and type II etchers in 10 mT argon plasmas.

FIG. 10.

ne⟨σv⟩ with varying RF power for type I and type II etchers in 10 mT argon plasmas.

Close modal

Table II shows the etching process results and atomic N and Cl monitored results of the bias power and N2 partial pressure modified cases in type I etchers. Every condition was tested for 28 sample glasses (1 lot), and the averaged process results were arranged. Measured etch rate, uniformity, and taper angle had about 5%, 9%, and 2% standard deviations, referring to the averaged values for one lot of glasses. Type I|ref and Type II denote the original condition introduced in Table I with the original processing recipe. Type I|N2 × 5, Type I|N2 × 10, and Type II|N2 × 20 represent 5 times, 10 times, and 20 times of N2 partial pressured increased cases with 2.5 times larger bias power supplying, respectively. With the original processing recipe the same as that of type II etchers, the etch rate was lower, process uniformity was worse, and the taper angle was higher to achieve the proper mass production performance of the OLED display. With increasing N2 partial pressure, N atomic flux-driven passivation is enhanced; thus, the taper angle of the etched pattern sidewall has decreased. As we had introduced previously, achieving at least 20° lower sidewall taper angle with a gradual slope than the vertical sidewall is important for the quality of the OLED display performance.4 Therefore, considering the taper angle of the process results, 10 times or 20 times of N2 partial pressure set process condition was selectable to get a similar taper angle with type II etchers in type I etchers. However, because of the too-low partial pressure of Cl2 with 20 times of the N2 gas input, the metal etching process rate by the reaction with Cl radical, Cl2+, Cl+ ions, and excited Cl2 molecules is too lowered for the Type I|N2 × 20 case. Moreover, non-uniformity was 42% higher than in the type II etchers to select Type I|N2 × 20 by the drastically increased ne and shortened λ driven standing wave effect.23,24 On the other hand, for low N2 partial pressure adopted cases, Type I|ref and Type I|N2 × 5, high electronegativity driven stronger capacitive power coupling caused vertical electric field related standing wave effect and non-uniform distribution of the plasma as Rauf reported.75 As a result, we could choose Type I|N2 × 10 condition for type I etchers to achieve controlled etching process results similar to type II etchers.

TABLE II.

Metal etching process results including the tunes process recipes in type I etcher and type II etcher.

Etchers Type I|ref Type I|N2 × 5 Type I|N2 × 10 Type I|N2 × 20 Type II
[N]norm  0.00  0.47  0.96  1.16 
[Cl]norm  1.80  0.70  0.59  0.44 
Taper angle (deg)  θ + 10.2  θ + 3.3  θ + 1.3  θ − 2.3  θ 
Etch rate (a.u.)  0.95  0.98  0.97  0.39 
Non-uniformity (a.u.)  2.04  1.53  1.09  1.42  1.00 
Etchers Type I|ref Type I|N2 × 5 Type I|N2 × 10 Type I|N2 × 20 Type II
[N]norm  0.00  0.47  0.96  1.16 
[Cl]norm  1.80  0.70  0.59  0.44 
Taper angle (deg)  θ + 10.2  θ + 3.3  θ + 1.3  θ − 2.3  θ 
Etch rate (a.u.)  0.95  0.98  0.97  0.39 
Non-uniformity (a.u.)  2.04  1.53  1.09  1.42  1.00 

[N]norm in Table II represents the normalized intensity of N I 747 nm measured by the OES for each process condition. To compare the relative amount of the atomic N, the intensity of 746 nm was divided by the integrated area of full spectra. Full spectra in visible rays reflect the light emission of various gases consisting of that plasma; therefore, normalization by the area of the full spectra represents the partial pressure of atomic N. With increasing N2 partial pressure of type I etcher, [N]norm increases up to a similar level of type II etcher. This explains the decrease in the taper angle to be a more gradual slope with the addition of N2 reasonably. [Cl]norm represents the normalized intensity of Cl I 754 nm by the full spectra area. 754 nm line is one of the persistent lines of the Cl atom in the 200–800 nm visible range. [Cl]norm of the Type I|ref is 80% larger than that of Type II, and this can explain the similar etch rates of two types of the etchers without the process tuning, although the etching profile is very different. The abundance of Cl radical in the chamber could overcome the weakness of the ion bombarding energy onto the etching target. With addition of N2, [Cl]norm is drastically decreases, and even drop under the half of type II etcher for Type I|N2 × 20 case. This explains the sudden drop of etch rate in Type I|N2 × 20 by the lack of Cl radical and Cl2+, Cl+ ions.

As expected from the analysis of the new PI index, Sstoc/Sohm, the enhancement of the ion energy and N neutral-driven passivation by increasing the bias power and N2 partial pressure was effective in controlling the process result in terms of the chamber-to-chamber matching.

As simply defined as the ratio of attachment and recombination rate coefficients, electronegativity α of the Cl2-based plasma can be expressed as46,77,79
(32)
where n is the negative ion density, Katt is the attachment rate coefficient to generate chlorine negative ions, Krec is the recombination rate coefficient to remove the chlorine negative ions by the collision with the positive ions, nCl2 is the number density of the Cl2 molecules, and n+ is the positive ion density. To calculate α roughly, we have adopted the rate constants in Table III. Total positive ion density n+ has adopted the value of ne measured in Ar plasma of Fig. 5(b) based on the quasi-neutrality of the plasma, and the fraction of Cl+, Cl2+, and N2+ in n+ was decided with the nN2/ng and the rate coefficients of I1, I2, I3, and I4 reactions in Table III. The results are expressed in Fig. 11.
TABLE III.

Attachment and recombination-related reaction set for the N2/Cl2 discharge.

Reaction Rate coefficient (m3 s−1) References
A1  e + Cl2(ν = 0) → Cl + Cl  3.43 × 10−15Te−1.18e−3.98/Te + 3.05 × 10−16Te−1.33e−0.11/(Te + 0.014)  77  
A2  e + Cl2(ν = 0) → Cl+ + Cl + e  2.94 × 10−16Te0.19e−18.79/Te  77  
R1  Cl2+ + Cl → 3Cl  5.00 × 10–14(300/Tg)0.50  77  
R2  Cl+ + Cl → Cl + Cl  5.00 × 10–14(300/Tg)0.50  77  
R3  Cl + N2+ → N2 + Cl  5.0 × 10–14  80  
I1  e + Cl2(ν = 0) → Cl2+ + 2e  5.12 × 10−14Te0.48e−12.34/Te  77  
I2 

e + Cl2(ν = 0) → Cl + Cl+ + 2e

 
2.14 × 10−13Te−0.07e−25.26/Te  77  
I3  e + Cl2(ν = 0) → Cl+ + Cl+ + 3e  2.27 × 10−16Te1.92e−21.26/Te  77  
I4  e + N2 → N2+ + e  2.8 × 10−14e−18.56/Te  81 and 82  
Reaction Rate coefficient (m3 s−1) References
A1  e + Cl2(ν = 0) → Cl + Cl  3.43 × 10−15Te−1.18e−3.98/Te + 3.05 × 10−16Te−1.33e−0.11/(Te + 0.014)  77  
A2  e + Cl2(ν = 0) → Cl+ + Cl + e  2.94 × 10−16Te0.19e−18.79/Te  77  
R1  Cl2+ + Cl → 3Cl  5.00 × 10–14(300/Tg)0.50  77  
R2  Cl+ + Cl → Cl + Cl  5.00 × 10–14(300/Tg)0.50  77  
R3  Cl + N2+ → N2 + Cl  5.0 × 10–14  80  
I1  e + Cl2(ν = 0) → Cl2+ + 2e  5.12 × 10−14Te0.48e−12.34/Te  77  
I2 

e + Cl2(ν = 0) → Cl + Cl+ + 2e

 
2.14 × 10−13Te−0.07e−25.26/Te  77  
I3  e + Cl2(ν = 0) → Cl+ + Cl+ + 3e  2.27 × 10−16Te1.92e−21.26/Te  77  
I4  e + N2 → N2+ + e  2.8 × 10−14e−18.56/Te  81 and 82  
FIG. 11.

Electronegativity α with varying partial pressure of N2, nN2/ng, for Te = 1, 2, …, 7 eV.

FIG. 11.

Electronegativity α with varying partial pressure of N2, nN2/ng, for Te = 1, 2, …, 7 eV.

Close modal

Figure 11 represents the calculated electronegativity of the N2-added Cl2-based plasma with regard to Eq. (31) for varying molar fraction of N2, nN2/ng, for Te = 1, 2, 3, 4, 5, 6, and 7 eV. ng is fixed to constant for pressure 10 mT, which is the observed processing condition. With increasing nN2/ng or Te, electronegativity decreases rapidly for both cases. If the partial pressure of N2 increases about 10 times, α decays under 1/2.5 of the initial value for all calculated electron temperatures. As previously stated, neσv⟩ of Type I|ref to generate the neutral N atom is about 30 times smaller than that of Type II etchers, but the best-compensated condition is Type I|N2 × 10. We have expected that changed ne by the variation of α leads smaller adding of N2 than 30 times could compensate the atomic N generation rate, and the result of Fig. 11 verifies this. Also, 10 times increase in nN2/ng and about 2.5 times increase in ne by decayed α could match the atomic N generation rate in type I etchers with the level of type II etchers.

To verify the general applicability of the introduced PI index, Sstoc/Sohm, for the modeling of PI-VM as reference information, we have tested the performance of Sstoc/Sohm for the previously introduced PI-VM model.12 The reported PI-VM model in 2021 was modeled to predict micro-range etching profile non-uniformity-driven OLED display performance faults. According to the PI parameters analysis, we could understand that the process fault was caused by the too-strong ion bombarding energy-related surface temperature and polymer precursor sticking probability changes. Introduced PI parameters parameterized from the EES and OES dataset were chucking forceof the ESC (Electrostatic Chuck), “center to edge ratio of the antenna power coupling,” “decay time constant” of the glass backside cooling helium gas flow after injected through the helium hole on the ESC surface, “He flow instability” caused by unstable chucking of the glass with the broken balance between chucking force and helium flow driven upward force, “non-uniformity of the electrode cooling” from the chiller coolant flows, “micro-geometry of the electrodes” which governs the heat transfer property in the materials contacted points, and “sputtered out Y-atom” monitored from the line emission intensity of yttrium atom. More than any other parameters, the contribution of the sputtered out Y-atom parameter for deciding the process fault to the introduced PI-VM model was noticeable. Because a large area of the plasma-facing parts in the observed chamber was Y2O3 to avoid the aging and erosion of the parts from the various chemical species, light emission from the sputtered-out Y atom represented the overall ion bombarding energy and flux. Y2O3 is a chemically very stable material in the etching process plasmas; thus, it is damaged only by the physical sputtering of the ions.

Figures 12(a) and 12(b) recall the representative PI parameters introduced in 2021 for 13 chambers during the sample period with the classified level of process faults.12 The sample period was one week, and a fixed etching process recipe and etching target model were introduced for all 13 chambers with the same spec during the observation. During the observed sample period, 4433, 2525, 1284, 1336, 589, 503, 527, 1523, 1366, 280, 965, 1211, and 98 glasses were analyzed for the chamber 1, 2, …, and 13, respectively, and PI parameters were monitored for all glasses and averaged for each of the chambers. The etching process fault cases by the micro-scale non-uniformity of the etching profile were classified into levels 0, 1, 2, and 3 according to the inspected fault occurred frequency. Fault-free chambers were classified into level 0, and fault-occurred chambers with low- and high-frequency, but the mass production yield is spec-in cases, were classified into levels 1 and 2, respectively. Chambers in which fault occurred too frequently to maintain mass production were classified as level 3. According to the level of chambers, the management strategy of the process is determined in the mass production fab. For level 0 chambers, the process is performed continuously, and for level 1 and 2 chambers, the process is kept restrictive with the limited processing targets and with more frequent ISD (In Situ Dry cleaning) compared to the normal case. For level 3 chambers, the mass production is stopped, and the PM (Preventive Maintenance) procedure is performed.12 

FIG. 12.

PI parameters of the (a) sputtered-out Y-atom, (b) center-to-edge ratio of the antenna power coupling, and (c) Sstoc/Sohm for the 13 process chambers with the level of the process faults.

FIG. 12.

PI parameters of the (a) sputtered-out Y-atom, (b) center-to-edge ratio of the antenna power coupling, and (c) Sstoc/Sohm for the 13 process chambers with the level of the process faults.

Close modal
FIG. 13.

Pearson correlation coefficients (R2) between the PI parameters and the level of process faults.

FIG. 13.

Pearson correlation coefficients (R2) between the PI parameters and the level of process faults.

Close modal

As previously introduced in 2021, sputtered out Y-atom and “center to edge ratio of the antenna power coupling” had a strong correlation with the level of process fault compared to the other PI parameters, with 75.2% and 37.0% of Pearson correlation coefficients (R2), respectively. They are parameters including reasonable information related to the spatial gradient of the ion flux-driven surface passivation non-uniformity and another expression caused by the same phenomena with the observed process faults.

Figure 12(c) shows the newly parameterized PI index, “Sstoc/Sohm,” in Sec. III B with the level of process faults for 13 chambers of 16 640 processes glasses. The Sstoc/Sohm PI parameter also shows a good correlation with the level of process faults, and a reasonable explanation about the correlation with the other 2 PI parameters is possible. Correlations(R) between sputtered out Y-atom and Sstoc/Sohm and center to edge ratio of antenna power coupling and Sstoc/Sohm are 0.894 and −0.747, respectively. With high capacitively coupled power, a stronger spatial electric field caused higher ion bombarding energy transferred on the etching target; thus, line emission of sputtered-out material and Sstoc/Sohm have a high positive correlation. The bad balance between center and edge power coupling property, that is to say, a large difference of power coupling efficiency between the central antenna loop and outer antenna loop calculated for each coils with the ηantenna introduced in the Introduction, means the large imbalance between current flows of the antenna.12,83,84 This strong imbalance of the current causes the spatial non-uniformity of the electromagnetic field and the plasma distribution. As Perret and Rauf analyzed, this non-uniform spatial distribution of the strong vertical electric field is strongly correlated with the standing wave effect or skin effect, which are governed by the capacitive properties of the plasmas even in the inductively coupled discharges.23,24,26,36 Therefore, a high correlation coefficient R with a negative direction between Sstoc/Sohm and center to edge ratio of the antenna power coupling could be understood.

Figure 13 compares the correlation coefficients, R2, between the level of process faults and previously introduced PI parameters in Ref. 12, and also between the level of process faults and the newly introduced Sstoc/Sohm index. Information about the plasma heating properties-including-index, which could explain the phenomena in the processing reactor effectively, shows the best correlation with the process, which results in a very important characteristic to apply for VM modeling as a PI parameter.11,14 As Edamura et al. discussed, the fraction of the capacitively coupled plasma (CCP) to the total plasma generation is one of the most important properties that govern the performance of the etching process reactors and the process results in the chambers.14 Characterization of the power coupling properties of the observing plasma reactor was helpful in understanding the process results difference between chambers and their performance matching by the optimization of the etching process recipes, and it was demonstrated that the applicability of this index to the PI-VM modeling for analyzing and managing the events in the mass production line which includes good information about the condition of the processing plasmas.

For mass production of the OLED display panels, a very large area plasma reactor, which is suitable for meter-scale targets with high production yield and throughput, is required. Because of this, inductively coupled plasma sources with higher plasma density compared to the CCP (capacitively coupled plasma) etchers have been adopted in many cases. However, because of the too large plasma-facing surface area-driven power loss compared to the applied power, the overall power coupling efficiency of the reactors is not ideal. This caused various kinds of reactor designs to enhance the plasma heating efficiency, and deviations in the process results were also driven. To perform the mass production, process results should be equalized without the process fault; thus, chamber-to-chamber matching based on the plasma properties was necessary. The introduced index this time, with characterization of the plasma heating mechanism, Sstoc/Sohm, was efficient to analyze the power coupling properties of each reactor. With the information given by the Sstoc/Sohm PI index, optimization of the mass production etching process recipe and understanding of the capacitive coupling in the inductive discharge was possible. Verification of the performance as a PI index was demonstrated for 13 chambers and 16 640 glasses, and we have validated the applicability of the Sstoc/Sohm index to the PI-VM modeling to analyze the various issues in the fab during the mass production and to manage and control the plasma processes to achieve the optimized efficiency. This characterization of the plasma heating properties in terms of the PI index has shown the applicability of basic plasma physics, even for the lack of the detailed diagnosed plasma parameters and sensors, to the control and governing area of industrial plasma processes applied in the mass-producing systems. The introduced PI index based on the plasma heating mechanism is expected to be applied to the practical reference index to model the data-driven plasma control logic and collaboration with the AI (artificial intelligence) for plasma processes such as the PI-VM modelings.

This work was technically supported by the executive vice presidents Jaehyung Lee, Jeonggen Yoo, and Kyung-Han Kim of the mobile display business in Samsung Display Co., Ltd. The authors would like to thank their support sincerely. This research was supported by the Brain Korea 21 FOUR Program (No.4199990314119) and the National Research Council of Science & Technology (NST) grant by the Korea Government (MSIT) (No. CRC20014-000).

The authors have no conflicts to disclose.

Seolhye Park: Conceptualization (lead); Data curation (lead); Formal analysis (lead); Methodology (lead); Project administration (lead); Software (lead); Writing – original draft (lead); Writing – review & editing (lead). Yoona Park: Data curation (supporting); Software (supporting). Jaegu Seong: Conceptualization (supporting); Formal analysis (supporting). Haneul Lee: Conceptualization (supporting); Resources (supporting). Namjae Bae: Conceptualization (supporting); Resources (supporting). Ki-baek Roh: Conceptualization (supporting); Software (supporting). Rabul Seo: Resources (supporting). Bongsub Song: Data curation (supporting). Gon-Ho Kim: Conceptualization (lead); Supervision (lead).

The data that support the findings of this study are available from the corresponding author upon reasonable request.

1.
J.
Montojo
,
M.
Dillinger
,
C.
Chan
, and
J.
Eichiner
, “
Mobile world congress Barcelona
,”
IEEE Commun. Mag.
60
,
8–9
(
2022
).
2.
B. S.
Yoon
,
C.
White
,
G.
Wease
,
L.
Honnappa
,
S.-T.
Tsai
,
X.
Wnag
, and
T. U.
Daim
,
Technology Roadmap for Automotive Flexible Display, Planning Roadmapping Technological Innovations
(
Springer
,
2013
).
3.
I.
Adamovich
,
S.
Agarwal
,
E.
Ahedo
,
L. L.
Alves
,
S.
Baalrud
,
N.
Babaeva
,
A.
Bogaerts
,
A.
Bourdon
,
P. J.
Bruggeman
,
C.
Canal
,
E. H.
Choi
,
S.
Coulombe
,
Z.
Donko
,
D. B.
Graves
,
S.
Hamaguchi
,
D.
Hegemann
,
M.
Hori
,
H.-H.
Kim
,
G. M. W.
Kroesen
,
M. J.
Kusshner
,
A.
Laricchiuta
,
X.
Li
,
T. E.
Magin
,
S.
Mededovic Thagard
,
V.
Miller
,
A. B.
Murphy
,
G. S.
Oehrlein
,
N.
Puac
,
R. M.
Sankaran
,
S.
Samukawa
,
M.
Shiratani
,
M.
Simek
,
N.
Tarasenko
,
K.
Tarashima
,
E.
Thomas
, Jr.
,
J.
Trieschmann
,
S.
Tsikata
,
M. M.
Turner
,
I. J.
van der Walt
,
M. C. M.
can deSanden
, and
T.
von Woedtke
, “
The 2022 plasma roadmap: Low temperature plasma science and technology
,”
J. Phys. D: Appl. Phys.
55
,
373001
(
2022
).
4.
S.
Park
,
J.
Seong
,
Y.
Park
,
Y.
Noh
,
H.
Lee
,
N.
Bae
,
K.-B.
Roh
,
R.
Seo
,
B.
Song
, and
G.-H.
Kim
, “
Data-driven plasma science based plasma etching process design in OLED mass productin referring to PI-VM
,”
Plasma Phys. Controlled Fusion
66
,
025014
(
2024
).
5.
S. M.
Khan
,
A.
Mann
, and
D.
Peterson
, “
The semiconductor supply chain: Assessing national competitiveness
,”
CSET Issue Brief
(
Center For Security and Emerging Technology
,
2021
), https://cset.georgetown.edu/publication/the-semiconductor-supply-chain/.
6.
K. J.
Kanarik
,
W. T.
Osowiecki
,
Y.
Lu
,
D.
Talukder
,
N.
Roschewsky
,
S. N.
Park
,
M.
Kmon
,
D. M.
Fried
, and
R. A.
Gottscho
, “
Human-machine collaboration for improving semiconductor process development
,”
Nature
616
,
707
711
(
2023
).
7.
S.
Park
,
J.
Seong
,
Y.
Jang
,
H.-J.
Roh
,
J.-W.
Kwon
,
J.
Lee
,
S.
Ryu
,
J.
Song
,
K.-B.
Roh
,
Y.
Noh
,
Y.
Park
,
Y.
Jang
,
T.
Cho
,
J.-H.
Yang
, and
G.-H.
Kim
, “
Plasma information-based virtual metrology (PI-VM) and mass production process control
,”
J. Korean Phys. Soc.
80
,
647–669
(
2022
).
8.
S.
Park
,
S.
Jeong
,
Y.
Jang
,
H.-J.
Roh
, and
G.-H.
Kim
, “
Enhancement of the virtual metrology performance for plasma-assisted oxide etching processes by using plasma information (PI) parameters
,”
IEEE Trans. Semicond. Manuf.
28
,
241–246
(
2015
).
9.
F. T.
Cheng
,
H.-C.
Huang
, and
C.-A.
Kao
, “
Developing an automatic virtual metrology system
,”
IEEE Trans. Autom. Sci. Eng.
9
,
181–188
(
2012
).
10.
W.-K.
Loh
and
J.-Y.
Yun
, “
A parallel algorithm for robust fault detection in semiconductor manufacturing processes
,”
Cluster Comput.
17
,
643
651
(
2014
).
11.
R.
Anirudh
,
R.
Archibald
,
M. S.
Asif
,
M. M.
Becker
,
S.
Benkadda
,
P.-T.
Bremer
,
R. H. S.
Bude
,
C. S.
Chang
,
L.
Chen
,
R. M.
Churchill
et al, “
Review of data-driven plasma science
,”
IEEE Trans. Plasma. Sci.
51
,
1750
1838
(
2023
).
12.
S.
Park
,
J.
Seong
,
Y.
Noh
,
Y.
Park
,
Y.
Jang
,
T.
Cho
,
J.-H.
Yang
, and
G.-H.
Kim
, “
Micro-range uniformity control of the etching profile in the OLED display mass production referring to the PI-VM
,”
Phys. Plasmas
28
,
103505
(
2021
).
13.
T.
Lafleur
,
P.
Chabert
, and
J. P.
Boot
, “
Secondary electron induced asymmetry in capacitively coupled plasmas
,”
J. Phys. D: Appl. Phys.
46
,
135201
(
2013
).
14.
M.
Edamura
,
K.
Yoshioka
,
R.
Nishio
,
S.
Kanai
,
T.
Kanekiyo
,
S.
Kanno
,
N.
Mise
,
A.
Doi
, and
H.
Kazumi
, “
A novel plasma etching tool with RF-biased Faraday-shield technology: Chamber surface reaction control in the etching of nonvolatile materials
,”
Jpn. J. Appl. Phys., Part 1
42
,
7547
7551
(
2003
).
15.
T.
Lafleur
,
P.
Chabert
, and
J. P.
Booth
, “
Electron heating in capacitively coupled plasmas revisited
,”
Plasma Sources Sci. Technol.
23
,
035010
(
2014
).
16.
M.
Wang
and
M. J.
Kushner
, “
High energy fluxes in dc-argumented capacitively coupled plasmas I. Fundamental characteristics
,”
J. Appl. Phys.
107
,
023308
(
2010
).
17.
S.
Wilczek
,
J.
Schulze
,
R. P.
Brinkmann
,
Z.
Donko
,
J.
Trieschmann
, and
T.
Mussenbrock
, “
Electron dynamics in low pressure capacitively coupled radio frequency discharges
,”
J. Appl. Phys.
127
,
181101
(
2020
).
18.
P.
Chabert
,
T. V.
Tsankov
, and
U.
Czarnetzki
, “
Foundations of capacitive and inductive radio-frequency discharges
,”
Plasma Sources Sci. Technol.
30
,
024001
(
2021
).
19.
S.
Park
,
Y.
Jang
,
T.
Cha
,
Y.
Noh
,
Y.
Choi
,
J.
Lee
,
J.
Seong
,
B.
Kim
,
T.
Cho
,
Y.
Park
,
R.
Seo
,
J.-H.
Yang
, and
G.-H.
Kim
, “
Predictive control of the plasma processes in the OLED display mass production referring to the discontinuity qualifying PI-VM
,”
Phys. Plasmas
27
,
083507
(
2020
).
20.
P.
Chabert
and
N.
Braithwaite
,
Physics of Radio-Frequency Plasmas
(
Cambridge University Press
,
2011
).
21.
J. T.
Gudmundsson
, “
On the effect of the electron energy distribution on the plasma parameters of an argon discharge: A global (volume-averaged) model study
,”
Plasma Sources Sci. Technol.
10
,
76
81
(
2001
).
22.
M. A.
Lieberman
and
A. J.
Lichtenberg
,
Principles of Plasma Discharges and Materials Processing
, 2nd ed. (
Wiley
,
2005
).
23.
A.
Perret
,
P.
Chabert
,
J.-P.
Booth
,
J.
Jolly
,
J.
Guillon
, and
P.
Auvray
, “
Ion flux nonuniformities in large-area high-frequency capacitive discharges
,”
Appl. Phys. Lett.
83
,
243
245
(
2003
).
24.
S.
Rauf
,
Z.
Chen
, and
K.
Collins
, “
Effect of resonance in external radio-frequency circuit on very high frequency plasma discharge
,”
J. Appl. Phys.
107
,
093302
(
2010
).
25.
K.
Bera
,
S.
Rauf
,
K.
Ramaswamy
, and
K.
Collins
, “
Effects of interelectode gap on high frequency and very high frequency capacitively coupled plasmas
,”
J. Vac. Sci. Technol., A
27
,
706–711
(
2009
).
26.
Z.
Chen
,
S.
Rauf
, and
K.
Collins
, “
Self-consistent electrodynamics of large-area high-frequency capacitive plasma discharge
,”
J. Appl. Phys.
108
,
073301
(
2010
).
27.
Y.
Wu
and
M. A.
Lieberman
, “
The influence of antenna configuration and standing wave effects on density profile in a large-area inductive plasma source
,”
Plasma Sources Sci. Technol.
9
,
210
(
2000
).
28.
P.
Chabert
,
J. L.
Raimbault
,
J. M.
Rax
, and
M. A.
Lieberman
, “
Self-consistent nonlinear transmission line model of standing wave effects in a capacitive discharge
,”
Phys. Plasmas
11
,
1775
1785
(
2004
).
29.
S.
Park
,
T.
Cho
,
Y.
Jang
,
Y.
Noh
,
Y.
Choi
,
T.
Cha
,
J.
Lee
,
B.
Kim
,
J.-H.
Yang
,
J.-J.
Hong
,
Y.
Park
,
G.-H.
Kim
, and
W.-H.
Jang
, “
Application of PI-VM for management of the metal target plasma etching processes in OLED display manufacturing
,”
Plasma Phys. Controlled Fusion
61
,
014032
(
2018
).
30.
G.
Cunge
,
B.
Pelissier
,
O.
Joubert
,
R.
Ramos
, and
C.
Maurice
, “
New chamber walls conditioning and cleaning strategies to improve the stability of plasma processes
,”
Plasma Sources Sci. Technol.
14
,
599
609
(
2005
).
31.
G.
Cunge
,
M.
Kogelschatz
, and
N.
Sadeghi
, “
Influence of reactor walls on plasma chemistry and on silicon etch product densities during silicon etching processes in halogen-based plasmas
,”
Plasma Sources Sci. Technol.
13
,
522
530
(
2004
).
32.
R.
Ramos
,
G.
Cunge
,
B.
Pelissier
, and
O.
Joubert
, “
Cleaning aluminum fluoride coating from plasma reactor walls in SiCl4/Cl2 plasmas
,”
Plasma Sources Sci. Technol.
16
,
711
715
(
2007
).
33.
G.
Cunge
,
N.
Sadeghi
, and
R.
Ramos
, “
Influence of the reactor wall composition on radicals' densities and total pressure in Cl2 inductiveluy coupled plasmas: II. During silicon etching
,”
J. Appl. Phys.
102
,
093305
(
2007
).
34.
S.
Park
,
Y.
Kyung
,
J.
Lee
,
Y.
Jang
,
T.
Cha
,
Y.
Noh
,
Y.
Choi
,
B.
Kim
,
T.
Cho
,
R.
Seo
,
J.-H.
Yang
,
Y.
Jang
,
S.
Ryu
, and
G.-H.
Kim
, “
Cause analysis of the faults in HARC etching processes by using the PI-VM model for OLED display manufacturing
,”
Plasma Processes Polym.
16
,
1900030
(
2019
).
35.
F.
Kruger
,
S.
Wilczek
,
T.
Mussenbrock
, and
J.
Schulze
, “
Voltage waveform tailoring in radio frequency plasmass for surface charge neutralization inside etch trenches
,”
Plasma Sources Sci. Technol.
28
,
075017
(
2019
).
36.
E.
Kawamura
,
D.-Q.
Wen
,
M. A.
Lieberman
, and
A. J.
Lichtenberg
, “
Effect of a dielectric layer on plasma uniformity in high frequency electronegative capacitive discharges
,”
J. Vac. Sci. Technol., A
35
,
05C311
(
2017
).
37.
C.
Cardinaud
,
M.-C.
Peignon
, and
P.-Y.
Tessier
, “
Plasma etching: Principles, mechanisms, application to micro- and nano-technologies
,”
Appl. Suf. Sci.
164
,
72
83
(
2000
).
38.
R.
Chanson
,
A.
Rhallabi
,
M. C.
Fernandez
,
C.
Cardinaud
, and
J. P.
Landesman
, “
Modeling of inductively coupled plasma Ar/Cl2/N2 plasma discharge: Effect of N2 on the plasma properties
,”
J. Vac. Sci. Technol., A
31
,
011301
(
2013
).
39.
R.
Dylewicz
,
R. M.
De La Rue
,
R.
Wasielewski
,
P.
Mazur
,
G.
Mezosi
, and
A. C.
Bryce
, “
Fabrication of submicron-sized features in InP/InGaAsP/AlGalInAs quantum well heterostructure by optimized inductively coupled plasma etching with Cl2/Ar/N2 chemistry
,”
J. Vac. Sci. Technol., B
28
,
882
890
(
2010
).
40.
C. F.
Carlstrom
,
R.
van der Heijden
,
M. S. P.
Andriesse
,
F.
Karouta
,
R. W.
van der Heijden
,
E.
van der Drift
, and
H. W. M.
Salemink
, “
Comparative study of Cl2, Cl2/O2, and Cl2/N2 inductively coupled plasma processes for etching of high-aspect-ratio photonic-crystal holes in InP
,”
J. Vac. Sci. Technol., B
26
,
1675–1683
(
2008
).
41.
P.
Strasser
,
R.
Wuest
,
F.
Robin
,
D.
Erni
, and
H.
Jackel
, “
Detailed analysis of the influence of an inductively coupled plasma reactive-ion etching process on the hole depth and shape of photonic crystals in InP/InGaAsP
,”
J. Vac. Sci. Technol., B
25
,
387–393
(
2007
).
42.
R.
Chanson
,
A.
Rhallabi
,
M. C.
Fernandez
, and
C.
Cardinaud
, “
Modeling of InP etching under ICP Cl2/Ar/N2 plasma mixture: Effect of N2 on the etch anisotropy evolution
,”
Plasma Processes Polym.
10
,
213
224
(
2013
).
43.
C.
Biloiu
,
X.
Sun
,
Z.
Harvey
, and
E.
Scime
, “
An alternative method for gas temperature determination in nitrogen plasmas: Fits of the bands of the first positive system (B3Πg→A3Σu
,”
J. Appl. Phys.
101
,
073303
(
2007
).
44.
A.
Lofthus
and
P. H.
Krupenie
, “
The spectrum of molecular nitrogen
,”
J. Phys. Chem. Ref. Data
6
,
113–307
(
1977
).
46.
P.
Chabert
,
A. J.
Lichtenberg
,
M. A.
Lieberman
, and
A. M.
Marakhtanov
, “
Instabilities in low-pressure electronegative inductive discharges
,”
Plasma Sources Sci. Technol.
10
,
478
489
(
2001
).
47.
M. A.
Lieberman
and
V. A.
Godyak
, “
From Fermi acceleration to collisionless discharge heating
,”
IEEE Trans. Plasma Sci.
26
,
955–986
(
1998
).
48.
V. A.
Godyak
,
O. A.
Popov
, and
A. H.
Khanna
, “
Effective collision frequency of the electrons in RF discharge
,”
Sov. J. Plasma Phys.
2
,
560
(
1976
).
49.
F.
Gabor
,
E. A.
Ash
, and
D.
Dracott
, “
Langmuir's paradox
,”
Nature
176
,
916
919
(
1955
).
50.
R. W.
Gould
, “
Radio frequency characteristics of the plasma sheath
,”
Phys. Lett.
11
, 2
36–237
(
1964
).
51.
I. D.
Kaganovich
and
L. D.
Tsendin
, “
Low-pressure RF discharge in the free-flight regime
,”
IEEE Trans. Plasma Sci.
20
(
2
),
86
92
(
1992
).
52.
V. A.
Godyak
, “
Statistical heating of electrons at an oscillating plasma boundary
,”
Sov. Phys. - Tech. Phys.
16
,
1073
(
1972
)
V. A.
Godyak
[
Zh. Tekh. Fiz.
16
,
1364
(
1972
)], https://www.osti.gov/biblio/4670745.
53.
O. A.
Popov
and
V. A.
Godyak
, “
Power dissipated in low-pressure radio-frequency discharge plasmas
,”
J. Appl. Phys.
57
(
1
),
53
58
(
1985
).
54.
M. M.
Turner
, “
Pressure heating of electrons in capacitively coupled RF discharges
,”
Phys. Rev. Lett.
75
(
7
),
1312
(
1995
).
55.
I.
Kaganovich
,
V. I.
Kolobov
, and
L. D.
Tsendin
, “
Stochastic electron heating in bounded radio-frequency plasmas
,”
Appl. Phys. Lett.
69
,
3818–3820
(
1996
).
56.
M. A.
Lieberman
, “
Analytical solution for capacitive RF sheath
,”
IEEE Trans. Plasma Sci.
16
(
6
),
638
644
(
1988
).
57.
J. T.
Gudmundsson
,
E.
Kawamura
, and
M. A.
Lieberman
, “
A benchmark study of a capacitively coupled oxygen discharge of the oopd1 particle-in-cell Monte Carlo code
,”
Plasma Sources Sci. Technol.
22
,
035011
(
2013
).
58.
S.
Huang
and
J. T.
Gudmundsson
, “
A current driven capacitively coupled chlorine discharge
,”
Plasma Sources Sci. Technol.
23
,
025015
(
2014
).
59.
P.
Chabert
, “
Electrmagnetic effects in high-frequency capacitive coupling discharges used for plasma processing
,”
J. Phys. D: Appl. Phys.
40
,
R63
R73
(
2007
).
60.
P.
Chabert
,
J.-L.
Raimbault
,
P.
Levif
,
J.-M.
Rax
, and
M. A.
Lieberman
, “
Inductive heating and E to H transitions in high frequency capacitive discharges
,”
Plasma Sources Sci. Technol.
15
,
S130
S136
(
2006
).
61.
Th
Wegner
,
C.
Kullig
, and
J.
Meichsner
, “
Electron heating during E-H transition in inductively coupled RF plasmas
,”
Plasma Sources Sci. Technol.
24
,
044001
(
2015
).
62.
Th
Wegner
,
C.
Kullig
, and
J.
Meichsner
, “
On the E-H transition in inductively coupled radio frequency oxygen plasmas: I. Density and temperature of electrons, ground state and singlet metastable molecular oxygen
,”
Plasma Sources Sci. Technol.
26
,
025006
(
2017
).
63.
M.
Zaka-ul-Islam
,
K.
Niemi
,
T.
Gans
, and
D.
O'Connell
, “
Energetic electron avalanches and mode transitions in planar inductively coupled radio-frequency driven plasmas operated in oxygen
,”
Appl. Phys. Lett.
99
,
041501
(
2011
).
64.
S.
Park
,
J.-M.
Choe
,
H.-J.
Roh
, and
G.-H.
Kim
, “
Characteristics of a non-Maxwellian electron energy distribution in a low-pressure argon plasma
,”
J. Korean Phys. Soc.
64
,
1819
1827
(
2014
).
65.
U.
Fantz
, “
Basics of plasma spectroscopy
,”
Plasma Sources Sci. Technol.
15
,
S137
S147
(
2006
).
66.
H.
Amemiya
, “
Sheath formation criterion and ion flux for non-Maxwellian plasma
,”
J. Phys. Soc. Jpn.
66
,
1335
1338
(
1997
).
67.
J. T.
Gudmundsson
and
M. A.
Liebermann
, “
Model and measurements for a planar inductive oxygen discharge
,”
Plasma Sources Sci. Technol.
7
,
1
(
1998
).
68.
R. B.
Piejak
,
V. A.
Godyak
, and
B. M.
Alexandrovich
, “
A simple analysis of an inductive RF discharge
,”
Plasma Sources Sci. Technol.
1
,
179
(
1992
).
69.
J. H.
Keller
,
J. C.
Forster
, and
M. S.
Barnes
, “
Novel radio-frequency induction plasma processing techniques
,”
J. Vac. Sci. Technol., A
11
,
2487
(
1993
).
70.
K. U.
Riemann
, “
Theoretical analysis of the electrode sheath in RF discharges
,”
J. Appl. Phys.
65
,
999–1004
(
1989
).
71.
V. A.
Godyak
and
N.
Sternberg
, “
Dynamic model of the electrode sheaths in symmetrically driven RF discharges
,”
Phys. Rev. A
42
(
4
),
2299
(
1990
).
72.
E.
Kawamura
,
M. A.
Lieberman
, and
A. J.
Lichtenberg
, “
Stochastic heating in single and dual frequency capacitive discharges
,”
Phys. Plasmas
13
,
053506
(
2006
).
73.
B. P.
Wood
and
M. A.
Lieberman
, “
Stochastic electron heating in a capacitive RF discharge with non-Maxwellian and time-varying distributions
,”
IEEE Trans. Plasma Sci.
23
(
1
),
89
96
(
1995
).
74.
M.-Y.
Song
,
H.
Cho
,
G. P.
Karwasz
,
V.
Kokoouline
, and
J.
Tennyson
, “
Electron scattering on molecular nitrogen: Common gas, uncommon cross sections
,”
Eur. Phys. J. D
77
,
105
(
2023
).
75.
S.
Rauf
,
K.
Bera
, and
K.
Collins
, “
Self-consistent simulation of very high frequency capacitively coupled plasmas
,”
Plasma Sources Sci. Technol.
17
,
035003
(
2008
).
76.
P. C.
Cosby
, “
Electron-impact dissociation of nitrogen
,”
J. Chem. Phys.
98
,
9544
9553
(
1993
).
77.
E. G.
Thorsteinsson
and
J. T.
Gudmundsson
, “
A global (volume averaged) model of a Cl2/Ar discharge: I. Continuous power
,”
J. Phys. D: Appl. Phys.
43
,
115201
(
2010
).
78.
E. G.
Thorsteinsson
and
J. T.
Gudmundsson
, “
A global (volume averaged) model of a Cl2/Ar discharge: II. Pulsed power modulation
,”
J. Phys. D: Appl. Phys.
43
,
115202
(
2010
).
79.
E.
Despiau-Pujo
and
P.
Chabert
, “
Global model of instabilities in low-pressure inductive chlorine discharges
,”
Plasma Sources Sci. Technol.
18
,
045028
(
2009
).
80.
A.
Efremov
,
N.-K.
Min
,
B.-G.
Choi
,
K.-H.
Baek
, and
K.-H.
Kwon
, “
Model-based analysis of plasma parameters and active species kinetics in Cl2/X (X = Ar, He, N2) inductively coupled plasmas
,”
J. Electrochem. Soc.
155
,
D777
(
2008
).
81.
E. G.
Thorsteinsson
and
J. T.
Gudmundsson
, “
A global (volume averaged) model of a nitrogen discharge: I. Steady state
,”
Plasma Sources Sci. Technol.
18
,
045001
(
2009
).
82.
T.
Kimura
and
H.
Kasugai
, “
Experiments and global model of inductively coupled RF Ar/N2 discharges
,”
J. Appl. Phys.
108
,
033305
(
2010
).
83.
J.
Hopwood
, “
Planar RF induction plasma coupling efficiency
,”
Plasma Sources Sci. Technol.
3
,
460
(
1994
).
84.
J. D.
Jackson
,
Classical Electrodynamics
(
Wiley
,
NY
,
1975
).